Irobot Corporation

Vmware, Inc.

Riverbed Technology, Inc.

Opnet Technologies, Inc.

Steven J Baron

Alain J Cohen

Patrick J Malloy

Orjeta Taka

Kenneth N Ringdahl

Christopher Vernon Jones

Alex Y Wong

Brent Hild

Ryan Schneider

John Sinnigen

Gary Ellis Hall

Marc I Schneider

Stefan Zickler

Robert S Becker

Peter C McKay

Pranay Ahlawat

Cheryl D Stocks

Michael Foster

Matthew Weyant

John J McGee

Edward W Macomber

Kenrick E Drew

Christopher V Jones

Clifton Eric Smith

Earl Charles LaBatt, Jr

David Ronald White

Ajay Changulani

Collin Prather

Jonathan Sanjeev Withers

Laura Tramontozzi

James Jackson

David M Mcsweeney

Isaac Vandermeulen

Victoria Liceaga

Josie-Dee Seagren

Nick Cuneo

David C Palafox

Josua Gonzales-Neal

Shannon Amelia Case

Craig Michael Butterworth

A method of prioritizing cleaning of rooms of an environment for a mobile cleaning robot can include generating a cleanliness score for each room of the environment using a controller. Each of the cleanliness scores can be indicative of an amount of debris expected in each respective room by the mobile cleaning robot. The method can also include generating a room cleaning priority based at least partially on the cleanliness score of each of the rooms. The method can also include scheduling operations of the mobile cleaning robot for a planned mission based on the room cleaning priority of each of the rooms of the environment.

Cleaning prioritization for mobile cleaning robot

A mobile cleaning robot includes a cleaning head configured to clean a floor surface in an environment, and at least one camera having a field of view that extends above the floor surface. The at least one camera is configured to capture images that include portions of the environment above the floor surface. The robot includes a recognition module is configured to recognize objects in the environment based on the images captured by the at least one camera, in which the recognition module is trained at least in part using the images captured by the at least one camera. The robot includes a storage device is configured to store a map of the environment. The robot includes a control module configured to control the mobile cleaning robot to navigate in the environment using the map and operate the cleaning head to perform cleaning tasks taking into account of the objects recognized by the recognition module.

Mobile cleaning robot artificial intelligence for situational awareness

A first capture system that captures network communication events related to an application, and a second capture system that captures internal processing events related to the application. A visualization system analyzes the data captured by each of the capture systems, synchronizes and correlates the data, and presents an integrated display of these communication and processing events. In a preferred embodiment, the communicated messages include an identifier of the application, and the processing components also associate an identifier of the application to each recorded processing event. To facilitate the integrated display of the events, the visualization system synchronizes the recorded communication and processing events to a common time base.

Capture, analysis, and visualization of concurrent system and network behavior of an application

A computer system supports hosting of virtual desktops using resources available in the cloud. Connections to various resources used by a desktop configuration are made dynamically using authentication information associated with the user assigned to the desktop configuration. In addition to using file storage, directory services and user management information on private resources on a private network, these resources may also be accessed through a public network.

Providing virtual desktops using resources accessed on public computer networks

A metric monitoring and analysis system including dynamic sampling agents located in monitored system elements and a service management platform. Each sampling agent includes a data adapter collecting metric data in a common format, a threshold generator for determining dynamic metric threshold ranges, an alarm detector generating an indicator when a metric deviates outside a dynamic threshold range or a static threshold, and a deviation tracker generating an alarm severity scores. The service platform includes an alarm analyzer identifying root causes of system alarm conditions by correlation of grouped metrics or forensic analysis of temporally or statistically correlated secondary forensic data or data items from a service model of the system.

Performance metric collection and automated analysis

Growing community of inventors

Nashua, NH, United States of America

Steven J Baron